Dynamically Generated, Articulated 3-Dimensional Training Content

SBIR · Phase: BOTH · Topic DON26BZ05-NV071 · Solicitation 26.BZ

The Navy increasingly relies on immersive training solutions utilizing Virtual, Augmented, and Mixed Reality (VR/AR/MR) to provide instructors with the flexibility to create realistic training scenarios, including fault injections and novel situations. However, the traditional development of interactive 3-D models remains a significant bottleneck, requiring months of intensive design, modeling, and coded scripting. This slow process hinders curriculum updates, constrains training throughput, and increases lifecycle costs. Navy initiatives demand technologies that accelerate content creation and refresh, particularly given emerging opportunities for advanced LVC training, adaptive tutoring, and rapid prototyping of virtual content. Recent technological breakthroughs, such as neural radiance fields, 3-D Gaussian Splatting, and 3-D model diffusion, offer near-instant scene creation and real-time asset generation. Furthermore, advances in computing power and technology such as generative artificial intelligence (AI) enables the ingestion of large technical datasets to auto-draft procedures and annotations for instructional content. Despite these advances, existing solutions often lack the dynamic articulation, physics, and logic necessary for hands-on procedural practice and team interaction. Critically, fleet use cases require no-code tools that empower Subject Matter Experts (SMEs) to verify content outputs, embed adaptive cues, and seamlessly export to existing simulators and LVC systems. Dynamic articulation, multi-user networking, SME oversight, and standards-compliant export represent key transition hurdles. Secure, user-friendly toolkit solutions are desired that enables the rapid conversion of diverse Navy data sources (structured and unstructured) into photorealistic 3-D assets suitable for deployment in AR and MR training platforms and LVC environments. The solution should provide a low-code/no-code software platform for the automated generation of AR/MR training content that requires minimal source media (e.g., smartphone photos, video, Computer-aided design model, or schematics) while offering human-on-the-loop controls for validation and refinement of models. These photorealistic 3-D assets should have articulating sub-components, respond to user actions, and drive the learning of procedural maintenance workflows. The toolchain must support easy export to a variety of Navy immersive reality training platforms and/or LVC environments or systems. The goal is to produce mission-specific, realistic content in days instead of weeks or months, leveraging actual fleet data and user-friendly tools. This topic seeks an innovative capability that supports automated or semi-automated generation of AR/MR content from real-world data sources—such as maintenance records, after-action reports, sensor logs, or mission debriefs—and enables curriculum developers or instructors to generate varied training scenarios quickly and intuitively. The system should support parameterized scenario generation and include tools for editing or customizing scenarios without requiring software development skills. Key technical elements may include: • AI-assisted generation of 3-D assets, animations, or procedural scripts; • Natural language processing (NLP) to parse textual data into scenario logic; • Interfaces that allow low-code or no-code authoring of AR/MR content; • Export capability to common AR/MR engines (Unity, Unreal) and Navy-deployed HMDs or mobile devices; and • Security and compatibility with Navy computing environments. The expected outcome is a toolchain that empowers training programs to rapidly create and deploy operationally relevant AR/MR training content, significantly reducing development time and cost while enhancing the effectiveness of Navy training programs.

SBIR/STTR 은 미국 중소기업만 지원할 수 있습니다(Small Business Act 법정 요건). • 계열사를 포함해 상시 종업원 500명 이하 • 미국 시민 또는 영주권자 1인 이상이 50%를 초과해 직접 소유·지배 • 미국 내 사업장을 두고 주로 미국 내에서 사업을 영위할 것 • 수행책임자(PI)의 주된 근무처가 신청 기업일 것 출처: https://www.sbir.gov/faq/eligibility-requirements

Primary country

🇺🇸 United States

Also eligible

None

Foreign companies

No

Local entity

Required

Location condition

미국 내 사업장을 두고 미국 시민·영주권자가 50%를 초과해 소유한 중소기업만 신청할 수 있습니다(법정 요건).

Document requirements were not captured (needs verification). Check the official announcement.

Application process not captured.

Evaluation process not captured.

Process steps were not captured.

Generated by local:rules-v1 · 3h ago

The announcement does not say what has to be submitted, so the disclosure exposure cannot be judged. the scope of the material requested is not stated. The awarding body is U.S. Department of War — NAVY. 8 fields could not be read and must be checked in the announcement and the grant agreement.

This assessment is derived from the stored announcement, document and contract fields. Anything the source does not state is marked "needs verification" — it never asserts that your idea will be taken. Generated by local:rules-v1 · 3h ago

Official URL

https://www.dodsbirsttr.mil/topics-app/

Application URL

https://www.dodsbirsttr.mil/topics-app/

Last fetched

2026.08.20

Human review

Not reviewed — check the official announcement

First seen

2026.08.20

Data status

Auto-collected, not reviewed

AI enrichment

local:rules-v1 · 3h ago